31 citations · 59 across the 5 of their papers we have counts for
5 papers
GEMEL: Model Merging for Memory-Efficient, Real-Time Video Analytics at the Edge
Arthi Padmanabhan, Neil Agarwal, Anand Iyer +5
Video analytics pipelines have steadily shifted to edge deployments to reduce bandwidth overheads and privacy violations, but in doing so, face an ever-growing resource tension. Mo…
Stateful Dynamic Partial Order Reduction for Model Checking Event-Driven Applications that Do Not Terminate
Rahmadi Trimananda, Weiyu Luo, Brian Demsky +1
Event-driven architectures are broadly used for systems that must respond to events in the real world. Event-driven applications are prone to concurrency bugs that involve subtle e…
SpecBox: A Label-Based Transparent Speculation Scheme Against Transient Execution Attacks
Bowen Tang, Chenggang Wu, Zhe Wang +6
Speculative execution techniques have been a cornerstone of modern processors to improve instruction-level parallelism. However, recent studies showed that this kind of techniques…
Dorylus: Affordable, Scalable, and Accurate GNN Training with Distributed CPU Servers and Serverless Threads
John Thorpe, Yifan Qiao, Jonathan Eyolfson +8
A graph neural network (GNN) enables deep learning on structured graph data. There are two major GNN training obstacles: 1) it relies on high-end servers with many GPUs which are e…
Crafty: Efficient, HTM-Compatible Persistent Transactions
Kaan Genç, Michael D. Bond, Guoqing Harry Xu
Byte-addressable persistent memory, such as Intel/Micron 3D XPoint, is an emerging technology that bridges the gap between volatile memory and persistent storage. Data in persisten…